ANN
              precision    recall  f1-score   support

       GHGIN       0.00      0.00      0.00         2
     Control       0.86      0.86      0.86        14

    accuracy                           0.75        16
   macro avg       0.43      0.43      0.43        16
weighted avg       0.75      0.75      0.75        16

Linear Regression
              precision    recall  f1-score   support

       GHGIN       0.50      1.00      0.67         2
     Control       1.00      0.86      0.92        14

    accuracy                           0.88        16
   macro avg       0.75      0.93      0.79        16
weighted avg       0.94      0.88      0.89        16

Ridge Regression
              precision    recall  f1-score   support

       GHGIN       0.50      1.00      0.67         2
     Control       1.00      0.86      0.92        14

    accuracy                           0.88        16
   macro avg       0.75      0.93      0.79        16
weighted avg       0.94      0.88      0.89        16

RidgeCV
              precision    recall  f1-score   support

       GHGIN       0.50      1.00      0.67         2
     Control       1.00      0.86      0.92        14

    accuracy                           0.88        16
   macro avg       0.75      0.93      0.79        16
weighted avg       0.94      0.88      0.89        16

Linear Lasso
              precision    recall  f1-score   support

       GHGIN       0.50      1.00      0.67         2
     Control       1.00      0.86      0.92        14

    accuracy                           0.88        16
   macro avg       0.75      0.93      0.79        16
weighted avg       0.94      0.88      0.89        16

Lasso
              precision    recall  f1-score   support

       GHGIN       0.50      1.00      0.67         2
     Control       1.00      0.86      0.92        14

    accuracy                           0.88        16
   macro avg       0.75      0.93      0.79        16
weighted avg       0.94      0.88      0.89        16

ElasticNet
              precision    recall  f1-score   support

       GHGIN       0.50      1.00      0.67         2
     Control       1.00      0.86      0.92        14

    accuracy                           0.88        16
   macro avg       0.75      0.93      0.79        16
weighted avg       0.94      0.88      0.89        16

BayesianRidge
              precision    recall  f1-score   support

       GHGIN       0.50      1.00      0.67         2
     Control       1.00      0.86      0.92        14

    accuracy                           0.88        16
   macro avg       0.75      0.93      0.79        16
weighted avg       0.94      0.88      0.89        16

Logistic Regression
              precision    recall  f1-score   support

       GHGIN       0.00      0.00      0.00         2
     Control       0.88      1.00      0.93        14

    accuracy                           0.88        16
   macro avg       0.44      0.50      0.47        16
weighted avg       0.77      0.88      0.82        16

SGD
              precision    recall  f1-score   support

       GHGIN       0.00      0.00      0.00         2
     Control       0.86      0.86      0.86        14

    accuracy                           0.75        16
   macro avg       0.43      0.43      0.43        16
weighted avg       0.75      0.75      0.75        16

SVM
              precision    recall  f1-score   support

       GHGIN       0.00      0.00      0.00         2
     Control       0.88      1.00      0.93        14

    accuracy                           0.88        16
   macro avg       0.44      0.50      0.47        16
weighted avg       0.77      0.88      0.82        16

KNN
              precision    recall  f1-score   support

       GHGIN       1.00      0.50      0.67         2
     Control       0.93      1.00      0.97        14

    accuracy                           0.94        16
   macro avg       0.97      0.75      0.82        16
weighted avg       0.94      0.94      0.93        16

Naive Bayes
              precision    recall  f1-score   support

       GHGIN       1.00      0.50      0.67         2
     Control       0.93      1.00      0.97        14

    accuracy                           0.94        16
   macro avg       0.97      0.75      0.82        16
weighted avg       0.94      0.94      0.93        16

Decision Tree
              precision    recall  f1-score   support

       GHGIN       0.50      0.50      0.50         2
     Control       0.93      0.93      0.93        14

    accuracy                           0.88        16
   macro avg       0.71      0.71      0.71        16
weighted avg       0.88      0.88      0.88        16

Bagging
              precision    recall  f1-score   support

       GHGIN       0.00      0.00      0.00         2
     Control       0.88      1.00      0.93        14

    accuracy                           0.88        16
   macro avg       0.44      0.50      0.47        16
weighted avg       0.77      0.88      0.82        16

Random Forest
              precision    recall  f1-score   support

       GHGIN       1.00      0.50      0.67         2
     Control       0.93      1.00      0.97        14

    accuracy                           0.94        16
   macro avg       0.97      0.75      0.82        16
weighted avg       0.94      0.94      0.93        16

Extra Tree
              precision    recall  f1-score   support

       GHGIN       0.00      0.00      0.00         2
     Control       0.86      0.86      0.86        14

    accuracy                           0.75        16
   macro avg       0.43      0.43      0.43        16
weighted avg       0.75      0.75      0.75        16

AdaBoost
              precision    recall  f1-score   support

       GHGIN       0.00      0.00      0.00         2
     Control       0.87      0.93      0.90        14

    accuracy                           0.81        16
   macro avg       0.43      0.46      0.45        16
weighted avg       0.76      0.81      0.78        16

GradientBoosting
              precision    recall  f1-score   support

       GHGIN       0.33      0.50      0.40         2
     Control       0.92      0.86      0.89        14

    accuracy                           0.81        16
   macro avg       0.63      0.68      0.64        16
weighted avg       0.85      0.81      0.83        16

XGBoost
              precision    recall  f1-score   support

       GHGIN       0.33      0.50      0.40         2
     Control       0.92      0.86      0.89        14

    accuracy                           0.81        16
   macro avg       0.63      0.68      0.64        16
weighted avg       0.85      0.81      0.83        16

Voting
              precision    recall  f1-score   support

       GHGIN       0.50      0.50      0.50         2
     Control       0.93      0.93      0.93        14

    accuracy                           0.88        16
   macro avg       0.71      0.71      0.71        16
weighted avg       0.88      0.88      0.88        16

